Approximate computing has been considered to improve the accuracy-performance tradeoff
in error-tolerant applications. For many of these applications, multiplication is a key …

The use of approximate logic circuits in error mitigation techniques has appeared in the
recent years as a way of achieving a sufficient fault coverage at a reduced cost, substituting …

In recent years, approximate computing (AC) has attracted attention owing to its tradeoff
between the exactness of computations and performance gains. AC has also been probed …

This work analyzes the performance of the reduced precision redundancy (RPR) error
mitigation technique using the fast Fourier transform (FFT) as a case study. To this purpose …

Triple modular redundancy (TMR) is one of the most common techniques in fault-tolerant
systems, in which the output is determined by a majority voter. However, the design diversity …

Triple-modular redundancy (TMR), which consists of three identical modules and a voting
circuit, is a common architecture for soft-error tolerance. However, the original TMR suffers …

Traditional reliability approaches introduce relevant costs to achieve unconditional
correctness during data processing. However, many application environments are inherently …

Image processing applications exhibit an intrinsic degree of fault tolerance due to i) the
redundant nature of images, and ii) the possible ability of the consumers of the application …

Radiation hardening by design (RHBD) is traditionally performed using triple modular
redundancy (TMR), a very effective technique that introduces high overheads in terms of …

Error mitigation techniques, such as Triple Modular Redundancy, introduce very large
overheads. To alleviate this overhead, approximate techniques can be used. In this work we …